A command that starts a spaced-review session based on the repository’s AGENTS.md instructions. Spaced review means revisiting learning topics at planned intervals to improve recall.

Reading AGENTS.md, asking three to five revised review questions, and updating the spaced-review records and trackers as instructed.

It puts the repository’s review process in one repeatable command, including overdue topics, missing areas, questions, and record updates.

How janmarkuslanger/learn-with-ai configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to janmarkuslanger/learn-with-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/janmarkuslanger/learn-with-ai/main/.claude/commands/review.md

Clone the repo

git clone --depth 1 https://github.com/janmarkuslanger/learn-with-ai

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/janmarkuslanger/learn-with-ai/review/github.svg)](https://agentmods.dev/commands/janmarkuslanger/learn-with-ai/review)

Your own site

<a href="https://agentmods.dev/commands/janmarkuslanger/learn-with-ai/review"><img src="https://agentmods.dev/badge/commands/janmarkuslanger/learn-with-ai/review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/janmarkuslanger/learn-with-ai/review"><img src="https://agentmods.dev/badge/commands/janmarkuslanger/learn-with-ai/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 85 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00085
Opus 5.5	$0.00000	$0.00034
Sonnet 5.5	$0.00000	$0.00017
Haiku 4.5	$0.00000	$0.00009

Measured 2mo ago against content hash bb23f2e09dc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/commands/review.md · 8 lines

What it actually says

/review — Spaced review session

Read AGENTS.md in the repo root and run a review exactly as defined in § Review session: overdue SRS topics first, mandatory gaps included, 3–5 rephrased retrieval questions, then all SRS/gap/tracker updates per § After each session.

AGENTS.md is the single source of truth — this command only triggers it.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 8 lines · 0 tokens per session scan A bb23f2e09dc3

Subscribe to this mod's changes

review is a command published in the GitHub repository janmarkuslanger/learn-with-ai (5 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 85 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Learning and teaching

review next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
reviewjanmarkuslanger/learn-with-ai	Command	5	12d ago	MIT	A	0	Claude Code
learn-story-flowIntai/story-flow	Command	16	2d ago	MIT	A	10	Claude Code
start-10-1minicoohei/ai-agent-camp	Command	347	1mo ago	none	A	2	Claude Code
start-0-8minicoohei/ai-agent-camp	Command	347	1mo ago	none	A	2	Claude Code
setup-m365cli.esminicoohei/ai-agent-camp	Command	347	1mo ago	none	A	8	Claude Code
prep-rolefourleafai/clover-public	Command	8	1mo ago	MIT	A	0	Claude Code
setup-vercel.esminicoohei/ai-agent-camp	Command	347	1mo ago	none	B	2	Claude Code

learn-with-ai: Command for Claude Code